Books & Videos

Table of Contents

Chapter: Introduction

Welcome To The Course

02m 12s

About The Author

01m 6s

Local Setup, What We'll Be Using

03m 26s

How To Access Your Working Files

01m 15s

Chapter: Getting The Data

Basic Files

04m 55s

Excel Files

05m 47s

PDF Files

04m 0s

Using PDF Tables

06m 16s

Streaming And Rest APIs: Twitter

10m 20s

Using APIs Without Libraries

04m 40s

Introduction To Web Scraping

03m 35s

Building Your Own Web Scraper

06m 44s

Python 2 vs Python 3 Encoding

06m 17s

A Word On Encoding

06m 33s

Chapter: Data Analysis With Pandas

Pandas Data Structures

08m 6s

Pandas Data Types

04m 22s

Filtering With Pandas

08m 30s

Combining Datasets

06m 25s

Joining Datasets

08m 23s

Split-Apply-Combine

06m 53s

Simple Statistics With Pandas

07m 4s

Standardizing Your Data

06m 58s

Normalizing Your Data

04m 11s

Chapter: Cleaning Your Data

Identifying "Bad" Data

08m 17s

Simple String Parsing With Regex

08m 45s

Fuzzy Matching

04m 55s

Storing Your Data (Local And Cloud)

06m 50s

Chapter: Pandas. More Advanced Functionality

Identifying Trends

04m 53s

Identifying Outliers

05m 34s

Monitoring Speed/Performance

06m 5s

Parallelizing

05m 38s

Chapter: Other Advanced Data Libraries

Natural Language Processing

05m 2s

Introduction To Numpy And Scipy

04m 34s

Visualization With Matplotlib And Bokeh

05m 16s

Chapter: Conclusion

Where To Go Next

03m 27s